Augmented reality anthropomorphization system

ABSTRACT

Embodiments of the present disclosure relate generally to systems for enhancing a first media item through the addition of a supplemental second media item. A user may provide a request to enhance a selected media item, and in response, an enhancement system retrieves and presents a curated collection of supplemental content to be added to the media, to the user. The user may review the curated collection of supplemental content, for example by providing a tactile input to scroll through the curated collection of content.

TECHNICAL FIELD

Embodiments of the present disclosure relate generally to messagingservices, and more particularly, to systems for augmenting media contentto be distributed in messages.

BACKGROUND

Augmented Reality (AR) is an interactive experience of a real-worldenvironment whereby the objects that reside in the real-world are“augmented” by computer-generated perceptual information, sometimesacross multiple sensory modalities, including visual, auditory, haptic,somatosensory, and olfactory. The overlaid sensory information can beconstructive (i.e., additive to the natural experience) or destructive(i.e., masking off the natural environment), and is seamlesslyinterwoven with the physical world such that it is perceived as animmersive aspect of the real environment.

Various technologies are used in AR rendering, including opticalprojection systems, monitors, handheld devices, and display systems wornon the human body, such as eyeglasses, contact lenses, or a head-updisplay (HUD).

BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS

To easily identify the discussion of any particular element or act, themost significant digit or digits in a reference number refer to thefigure number in which that element is first introduced.

FIG. 1 is a block diagram showing an example messaging system forexchanging data (e.g., messages and associated content) over a networkin accordance with some embodiments, wherein the messaging systemincludes an Augmented Reality (AR) system.

FIG. 2 is block diagram illustrating further details regarding amessaging system, according to example embodiments.

FIG. 3 is a block diagram illustrating various modules of an AR system,according to certain example embodiments.

FIG. 4 is a flowchart illustrating a method for presenting AR content,according to certain example embodiments.

FIG. 5 is a flowchart illustrating a method for presenting AR content,according to certain example embodiments.

FIG. 6 is a flowchart illustrating a method for presenting AR content,according to certain example embodiments.

FIG. 7 is a flowchart illustrating a method for presenting AR content,according to certain example embodiments.

FIG. 8 is a flowchart illustrating a method for presenting AR content,according to certain example embodiments.

FIG. 9 is an interface diagram depicting AR content presented within agraphical user interface, according to certain example embodiments.

FIG. 10 is an interface diagram depicting AR content presented within agraphical user interface, according to certain example embodiments.

FIG. 11 is an interface diagram depicting AR content presented within agraphical user interface, according to certain example embodiments.

FIG. 12 is a block diagram illustrating a representative softwarearchitecture, which may be used in conjunction with various hardwarearchitectures herein described and used to implement variousembodiments.

FIG. 13 is a block diagram illustrating components of a machine,according to some example embodiments, able to read instructions from amachine-readable medium (e.g., a machine-readable storage medium) andperform any one or more of the methodologies discussed herein.

DETAILED DESCRIPTION

AR systems are used to enhance natural environments or situations andoffer perceptually enriched experiences. Embodiments of the presentdisclosure relate generally to systems for generating and presenting ARcontent within a graphical user interface (GUI). An AR system causesdisplay of a presentation of image data within a GUI, and identifies oneor more objects displayed within the presentation of the image data. Forexample, the image data may be collected and displayed within the GUIvia a camera associated with a client device. The image data may bepre-recorded and accessed at a later time, or in some embodiments may berecorded and displayed in real-time.

In response to detecting the one or more objects within the presentationof the image data, the AR system detects attributes of the one or moreobjects and retrieves AR media objects to be rendered within thepresentation of the image data, based on locations of the one or moreidentified objects.

In some embodiments, the AR system applies one or more computer visionmethods for identifying displays of objects with a presentation of imagedata. For example, object recognition techniques may be employed to findand identify object in an image or video sequence, including, but notlimited to feature-based methods, as well as edge detection. The ARsystem may for example maintain a database of object features that theAR system may compare to image features of the image data in order toidentify objects.

In some embodiments, the AR system associates collections of mediaobjects with object attributes, such that one or more attributes of anidentified object (e.g., shape, size, color, text, location, position)may be used to reference and retrieve a media object (e.g., a firstmedia object).

Upon retrieving a media object that corresponds with the identifiedobject within the presentation of the image data, the AR system presentsa display of the media object that corresponds with attributes of theidentified object at a position within the presentation of the imagedata, wherein the position is based on a location of the identifiedobject itself. For example, spherical objects may be associated with afirst media object (e.g., a smiley face), whereas conical objects may beassociated with a second media object (e.g., a frowny face). Uponidentifying a basketball (i.e., the round object) within thepresentation of the space, the AR system retrieves the first mediaobject, and presents the first media object within the presentation ofthe image data, at a position based on the location of the basketball,giving the appearance that the basketball has an expressive face.Similarly, upon identifying a traffic-cone, the AR system retrieves thesecond media object, and presents the second media object at a positionwithin the presentation of the image data based on the location of thetraffic-cone.

In some embodiments, aspects of the media object may be altered oradjusted based on the one or more attributes of the object. Aspects mayfor example include an aspect ratio of the media object, a scale of themedia object, a spacing between components of the media object, as wellas a size of the media object. In the case of audio features of a mediaobject, aspects of the audio features may be altered or adjusted basedon the one or more attributes of the object as well. For example, basedon the size and shape of the object, the audio features such as pitch,duration, timbre, sonic texture, and loudness may be adjusted based onthe one or more attributes of the object.

In some embodiments, the first media object may be a reactive orinteractive media object that dynamically responds to virtual as well asreal-world stimuli. Stimuli may include visual, acoustic, thermal,tactile, as well as olfactory events which occur within the presentationof the space. A virtual stimuli may therefore comprise similar events,executed through a first augmented reality media object within thepresentation of the space, and directed towards a second augmentedreality media object within the presentation of the space. As anillustrative example, the presentation of the space may comprise adisplay of two separate augmented reality media objects. The mediaobjects may respond to real-world stimuli, such as people or objectswithin the presentation of the space (e.g., a person picks up or flicksone of the augmented reality media objects), or based on otherreal-world stimuli such as a loud noise, by performing one or moreanimations based on attributes of the stimuli. For example, volume ofthe noise, or speed of motion of a person or object may result indifferent animations. The media objects may also respond to stimulibetween one another. For example, the presence of the second mediaobject may cause the first media object to perform an animation based onattributes of the second media object.

In some embodiments, the media objects may be configurable by a user ofa client device. For example, in response to detecting an object withina presentation of a space, the AR system may present a set ofconfiguration options to the user that enable the user to design andconfigure a media object to be displayed within the presentation of thespace, upon the object. In further embodiments, the AR system mayreceive inputs that assign a set of media object features to one or moreattributes of objects presented within the presentation of the space.For example, the user may define that a particular set of media objectfeatures should be displayed upon all spherical objects, or all orange,spherical objects.

FIG. 1 is a block diagram showing an example messaging system 100 forexchanging data (e.g., messages and associated content) over a network.The messaging system 100 includes multiple client devices 102, each ofwhich hosts a number of applications including a messaging clientapplication 104. Each messaging client application 104 iscommunicatively coupled to other instances of the messaging clientapplication 104 and a messaging server system 108 via a network 106(e.g., the Internet).

Accordingly, each messaging client application 104 is able tocommunicate and exchange data with another messaging client application104 and with the messaging server system 108 via the network 106. Thedata exchanged between messaging client applications 104, and between amessaging client application 104 and the messaging server system 108,includes functions (e.g., commands to invoke functions) as well aspayload data (e.g., text, audio, video or other multimedia data).

The messaging server system 108 provides server-side functionality viathe network 106 to a particular messaging client application 104. Whilecertain functions of the messaging system 100 are described herein asbeing performed by either a messaging client application 104 or by themessaging server system 108, it will be appreciated that the location ofcertain functionality either within the messaging client application 104or the messaging server system 108 is a design choice. For example, itmay be technically preferable to initially deploy certain technology andfunctionality within the messaging server system 108, but to latermigrate this technology and functionality to the messaging clientapplication 104 where a client device 102 has a sufficient processingcapacity.

The messaging server system 108 supports various services and operationsthat are provided to the messaging client application 104. Suchoperations include transmitting data to, receiving data from, andprocessing data generated by the messaging client application 104. Insome embodiments, this data includes, message content, client deviceinformation, geolocation information, media annotation and overlays,message content persistence conditions, social network information, andlive event information, as examples. In other embodiments, other data isused. Data exchanges within the messaging system 100 are invoked andcontrolled through functions available via GUIs of the messaging clientapplication 104.

Turning now specifically to the messaging server system 108, anApplication Program Interface (API) server 110 is coupled to, andprovides a programmatic interface to, an application server 112. Theapplication server 112 is communicatively coupled to a database server118, which facilitates access to a database 120 in which is stored dataassociated with messages processed by the application server 112.

Dealing specifically with the Application Program Interface (API) server110, this server receives and transmits message data (e.g., commands andmessage payloads) between the client device 102 and the applicationserver 112. Specifically, the Application Program Interface (API) server110 provides a set of interfaces (e.g., routines and protocols) that canbe called or queried by the messaging client application 104 in order toinvoke functionality of the application server 112. The ApplicationProgram Interface (API) server 110 exposes various functions supportedby the application server 112, including account registration, loginfunctionality, the sending of messages, via the application server 112,from a particular messaging client application 104 to another messagingclient application 104, the sending of media files (e.g., images orvideo) from a messaging client application 104 to the messaging serverapplication 114, and for possible access by another messaging clientapplication 104, the setting of a collection of media data (e.g.,story), the retrieval of a list of friends of a user of a client device102, the retrieval of such collections, the retrieval of messages andcontent, the adding and deletion of friends to a social graph, thelocation of friends within a social graph, opening and application event(e.g., relating to the messaging client application 104).

The application server 112 hosts a number of applications andsubsystems, including a messaging server application 114, an imageprocessing system 116, a social network system 122, and an AR system124. The messaging server application 114 implements a number of messageprocessing technologies and functions, particularly related to theaggregation and other processing of content (e.g., textual andmultimedia content) included in messages received from multipleinstances of the messaging client application 104. As will be describedin further detail, the text and media content from multiple sources maybe aggregated into collections of content (e.g., called stories,galleries, or collections). These collections are then made available,by the messaging server application 114, to the messaging clientapplication 104. Other processor and memory intensive processing of datamay also be performed server-side by the messaging server application114, in view of the hardware requirements for such processing.

The application server 112 also includes an image processing system 116that is dedicated to performing various image processing operations,typically with respect to images or video received within the payload ofa message at the messaging server application 114.

The social network system 122 supports various social networkingfunctions services, and makes these functions and services available tothe messaging server application 114. To this end, the social networksystem 122 maintains and accesses an entity graph 304 within thedatabase 120. Examples of functions and services supported by the socialnetwork system 122 include the identification of other users of themessaging system 100 with which a particular user has relationships oris “following,” and also the identification of other entities andinterests of a particular user.

The application server 112 is communicatively coupled to a databaseserver 118, which facilitates access to a database 120 in which isstored data associated with messages processed by the messaging serverapplication 114.

FIG. 2 is block diagram illustrating further details regarding themessaging system 100, according to example embodiments. Specifically,the messaging system 100 is shown to comprise the messaging clientapplication 104 and the application server 112, which in turn embody anumber of some subsystems, namely an ephemeral timer system 202, acollection management system 204 and an annotation system 206.

The ephemeral timer system 202 is responsible for enforcing thetemporary access to content permitted by the messaging clientapplication 104 and the messaging server application 114. To this end,the ephemeral timer system 202 incorporates a number of timers that,based on duration and display parameters associated with a message,collection of messages, or graphical element, selectively display andenable access to messages and associated content via the messagingclient application 104. Further details regarding the operation of theephemeral timer system 202 are provided below.

The collection management system 204 is responsible for managingcollections of media (e.g., collections of text, image video and audiodata). In some examples, a collection of content (e.g., messages,including images, video, text and audio) may be organized into an “eventgallery” or an “event story.” Such a collection may be made availablefor a specified time period, such as the duration of an event to whichthe content relates. For example, content relating to a music concertmay be made available as a “story” for the duration of that musicconcert. The collection management system 204 may also be responsiblefor publishing an icon that provides notification of the existence of aparticular collection to the user interface of the messaging clientapplication 104.

The collection management system 204 furthermore includes a curationinterface 208 that allows a collection manager to manage and curate aparticular collection of content. For example, the curation interface208 enables an event organizer to curate a collection of contentrelating to a specific event (e.g., delete inappropriate content orredundant messages). Additionally, the collection management system 204employs machine vision (or image recognition technology) and contentrules to automatically curate a content collection. In certainembodiments, compensation may be paid to a user for inclusion of usergenerated content into a collection. In such cases, the curationinterface 208 operates to automatically make payments to such users forthe use of their content.

The annotation system 206 provides various functions that enable a userto annotate or otherwise modify or edit media content associated with amessage. For example, the annotation system 206 provides functionsrelated to the generation and publishing of media overlays for messagesprocessed by the messaging system 100. The annotation system 206operatively supplies a media overlay to the messaging client application104 based on a geolocation of the client device 102. In another example,the annotation system 206 operatively supplies a media overlay to themessaging client application 104 based on other information, such as,social network information of the user of the client device 102. A mediaoverlay may include audio and visual content and visual effects, as wellas augmented reality overlays. Examples of audio and visual contentinclude pictures, texts, logos, animations, and sound effects, as wellas animated facial models, image filters, and augmented reality mediacontent. An example of a visual effect includes color overlaying. Theaudio and visual content or the visual effects can be applied to a mediacontent item (e.g., a photo or video or live stream) at the clientdevice 102. For example, the media overlay including text that can beoverlaid on top of a photograph generated taken by the client device102. In another example, the media overlay includes an identification ofa location overlay (e.g., Venice beach), a name of a live event, or aname of a merchant overlay (e.g., Beach Coffee House). In anotherexample, the annotation system 206 uses the geolocation of the clientdevice 102 to identify a media overlay that includes the name of amerchant at the geolocation of the client device 102. The media overlaymay include other indicia associated with the merchant. The mediaoverlays may be stored in the database 120 and accessed through thedatabase server 118.

In one example embodiment, the annotation system 206 provides auser-based publication platform that enables users to select ageolocation on a map, and upload content associated with the selectedgeolocation. The user may also specify circumstances under which aparticular media overlay should be offered to other users. Theannotation system 206 generates a media overlay that includes theuploaded content and associates the uploaded content with the selectedgeolocation.

In another example embodiment, the annotation system 206 provides amerchant-based publication platform that enables merchants to select aparticular media overlay associated with a geolocation via a biddingprocess. For example, the annotation system 206 associates the mediaoverlay of a highest bidding merchant with a corresponding geolocationfor a predefined amount of time

FIG. 3 is a block diagram illustrating components of the AR system 124that configure the AR system 124 to: display a presentation of imagedata at a client device; identify a display of an object within thepresentation of the image data based on one or more attributes of thedisplay of the object; detect the one or more attributes of the object;retrieve a media object based on the one or more attributes of theobject; and present the media object at a position within thepresentation of the image data, wherein the position is based on atleast the one or more attributes of the object, according to someexample embodiments. The AR system 124 is shown as including apresentation module 302, an identification module 304, a media module306, and a communication module 308, all configured to communicate witheach other (e.g., via a bus, shared memory, or a switch). Any one ormore of these modules may be implemented using one or more processors310 (e.g., by configuring such one or more processors to performfunctions described for that module) and hence may include one or moreof the processors 310.

Any one or more of the modules described may be implemented usinghardware alone (e.g., one or more of the processors 310 of a machine) ora combination of hardware and software. For example, any moduledescribed of the AR system 124 may physically include an arrangement ofone or more of the processors 310 (e.g., a subset of or among the one ormore processors of the machine) configured to perform the operationsdescribed herein for that module. As another example, any module of theAR system 124 may include software, hardware, or both, that configure anarrangement of one or more processors 310 (e.g., among the one or moreprocessors of the machine) to perform the operations described hereinfor that module. Accordingly, different modules of the AR system 124 mayinclude and configure different arrangements of such processors 310 or asingle arrangement of such processors 310 at different points in time.Moreover, any two or more modules of the AR system 124 may be combinedinto a single module, and the functions described herein for a singlemodule may be subdivided among multiple modules. Furthermore, accordingto various example embodiments, modules described herein as beingimplemented within a single machine, database, or device may bedistributed across multiple machines, databases, or devices.

FIG. 4 is a flowchart illustrating a method 400 for presenting ARcontent within a presentation of image data at a client device (e.g.,client device 102), according to certain example embodiments. Operationsof the method 400 may be performed by the modules described above withrespect to FIG. 3. As shown in FIG. 4, the method 400 includes one ormore operations 402, 404, 406, 408, and 410.

At operation 402, the presentation module 302 causes display of apresentation of image data at a client device 102. The image data may bepre-recorded or in some embodiments may be recorded and presented at theclient device 102 in real time. For example, the client device 102 mayhave a built in camera, or may be linked with a camera (e.g., viaBluetooth).

At operation 404, the identification module 304 identifies a display ofan object within the presentation of the image data, wherein the objectcomprises one or more object attributes and includes an object boundarythat defines a size and shape of the object.

In some embodiments, the identification module 304 may apply objectrecognition techniques to identify object in an image or video sequence,including, but not limited to feature-based methods, as well as edgedetection. For example, feature detection includes methods for computingabstractions of image information and making local decisions at everyimage point whether there is an image feature of a given type at thatpoint or not. The resulting features will be subsets of the imagedomain, often in the form of isolated points, continuous curves orconnected regions. Image features may include edges, corners, blobs,ridges, shapes. The AR system may maintain a database of object features(e.g., database 120), and apply template matching to the image data inorder to identify one or more objects displayed within a presentation ofthe image data based on the object features stored within the database.

In some embodiments, the identification module 304 may receive a userinput that selects or otherwise identifies the object within thepresentation of the image data. For example, a user may provide atactile input that comprises an identification of a point within thepresentation of the image data. In response to receiving the input thatcomprises the identification of the point. The identification module 304identifies the object based on the point identified by the input.

In further embodiments, the identification module 304 may visually guidethe user to one or more objects within the presentation of the space.For example, the identification module 304 may identify one or moreobjects at peripheral locations within the presentation of the space,and in response present directional markers to guide the user toposition the one or more objects at a central position within thepresentation of the image data.

At operation 406, in response to identifying a display of an objectwithin the presentation of the image data, the identification module 304detects one or more attributes of the object based on the image data.The attributes may include a size of the object, a shape of the object,a color of the object, a position of the object within the presentationof the space, as well as contextual considerations, such as temporalattributes (e.g., time of day, day of week, season, holiday, etc.), andgeo-location attributes.

At operation 408, the media module 306 retrieves or generates a mediaobject based on the one or more attributes of the object, in response tothe identification module 304 detecting the one or more attributes ofthe object. In some embodiments, the AR system 124 may maintain adatabase of media objects, wherein each media object is associated withone or more object attributes.

At operation 410, the presentation module 302 presents the media objectretrieved by the media module 306 at a position within the presentationof the image data at the client device 102, wherein the position of themedia object within the presentation of the image data is based on anobject attribute that includes at least an object boundary of thedisplay of the object.

FIG. 5 is a flowchart illustrating a method 500 for presenting ARcontent within a presentation of image data at a client device 102,according to certain example embodiments. Operations of the method 500may be performed by the modules described above with respect to FIG. 3.As shown in FIG. 5, the method 500 includes one or more operations 502,and 504. In some embodiments, the method 500 may be performed subsequentto operation 410 of the method 400, wherein the media object retrievedby the media module 306 is presented at a position within thepresentation of the image data at the client device 102.

At operation 502, the identification module 304 detects a stimuluswithin the presentation of the image data. The stimulus may includemovements detected in an environment depicted by the presentation of theimage data.

For example, the identification module 304 may identify and track one ormore features from the image data. As discussed above, the features ofthe image data include individual measurable properties orcharacteristics that may be observed. The identification module 304tracks the one or more features within the presentation of the imagedata, and detects stimulus based on movements of the one or morefeatures. The stimulus comprises attributes, such as a direction, amagnitude, and a type.

In some embodiments, the stimulus may also include auditory stimulus,wherein the auditory stimulus includes sound properties, such as afrequency, an amplitude, a direction or location, and a type.

At operation 504, in response to the identification module 304 detectingthe stimulus, the media module 306 causes the media objects displayedwithin the presentation of the image data (e.g., as in operation 410 ofthe method 400), to react to the stimulus. In some embodiments, themedia module 306 may retrieve animation instructions associated with themedia object based on one or more attributes of the stimulus.

In some embodiments, the animation instructions may be hosted within thedatabase 120, such that the identification module 304 may retrieve theanimation instructions in response to the detecting the stimulus.

In some embodiments, animation instructions associated with the mediaobject presented within the presentation of the space may be loaded intoa memory of the client device 102 in response to the presenting themedia object within the presentation of the space.

FIG. 6 is a flowchart illustrating a method 600 for presenting ARcontent within a presentation of image data, according to certainexample embodiments. Operations of the method 600 may be performed bythe modules described above with respect to FIG. 3. As shown in FIG. 6,the method 600 includes one or more operations 602, 604, and 606.

At operation 602, the identification module 304 identifies a display ofa second object within the presentation of the image data, wherein thesecond object comprises a second object boundary that defines a size andshape of the second object.

For example, as in operation 404 of the method 400 where theidentification module 304 identifies a display of an object within thepresentation of the image data, the identification module 304 may applyobject recognition techniques to identify object in an image or videosequence, including, but not limited to feature-based methods, as wellas edge detection. For example, feature detection includes methods forcomputing abstractions of image information and making local decisionsat every image point whether there is an image feature of a given typeat that point or not. The resulting features will be subsets of theimage domain, often in the form of isolated points, continuous curves orconnected regions. Image features may include edges, corners, blobs,ridges, shapes. The AR system may maintain a database of object features(e.g., database 120), and apply template matching to the image data inorder to identify one or more objects displayed within a presentation ofthe image data based on the object features stored within the database.

At operation 604, the identification module 304 detects an interactionbetween the second object and the first object. For example, theidentification module 304 may apply various feature tracking techniquesto track positions of the first object and the second object within thepresentation of the image data. The interaction between the secondobject and the first object may therefore include a movement of one orboth objects towards or away from the other, or may include detecting anoverlap of a boundary of the first object with a boundary of the secondobject.

At operation 606, in response to detecting the interaction between thefirst object and the second object, the media module 306 transfers adisplay of the media object from a first position based on the firstboundary of the first object, to a second position, wherein the secondposition is based on a second boundary of the second object.

As an illustrative example, the media object may initially be displayedon a first object within the presentation of the image data, such as anapple. A user may cause the apple to contact with a second object in thepresentation of the image data, such as a can of soda, and in response,the media module 306 transfers the display of the media object from theapple to the can of soda within the presentation of the image data.

FIG. 7 is a flowchart illustrating a method 700 for presenting ARcontent within a presentation of image data, according to certainexample embodiments. Operations of the method 700 may be performed bythe modules described above with respect to FIG. 3. As shown in FIG. 7,the method 700 includes one or more operations 702, 704, and 706.

At operation 702, the identification module 304 identifies a seconddisplay of a second object within the presentation of the image data,wherein the second object comprises a second object boundary thatdefines a location of the object within the presentation of the space,as well as a size and shape of the object.

At operation 704, the identification module 304 detects one or moreattributes of the second object displayed within the presentation of theimage data, wherein the one or more attributes include a size, a shape,a location within the presentation of the space, a color, movements ofthe second object, as well as an object type or category.

At operation 706, the media module 306 causes the media object presentedby the presentation module 302 within the presentation of the image datato react to the presence of the second object. For example, the mediamodule 306 may retrieve animation instructions and cause the mediaobject to perform an animation based on the animation instructions.

FIG. 8 is a flowchart illustrating a method 800 for presenting ARcontent within a presentation of image data, according to certainexample embodiments. Operations of the method 800 may be performed bythe modules described above with respect to FIG. 3. As shown in FIG. 8,the method 800 includes one or more operations 802, 804, 806, 808, 810,and 812.

At operation 802, the identification module 304 identifies a seconddisplay of a second object within the presentation of the image data,wherein the second object comprises a second object boundary thatdefines a location of the object within the presentation of the space,as well as a size and shape of the object.

At operation 804, the identification module 304 detects one or moreattributes of the second object displayed within the presentation of theimage data, wherein the one or more attributes include a size, a shape,a location within the presentation of the space, a color, movements ofthe second object, as well as an object type or category.

At operation 806, the media module 306 retrieves or generates a mediaobject based on the one or more attributes of the object, in response tothe identification module 304 detecting the one or more attributes ofthe object. In some embodiments, the AR system 124 may maintain adatabase of media objects, wherein each media object is associated withone or more object attributes.

At operation 808, the presentation module 302 presents the media objectretrieved by the media module 306 at a position within the presentationof the image data at the client device 102, wherein the position of themedia object within the presentation of the image data is based on thesecond object boundary of the second object.

At operation 810, the identification module 304 detects an interactionbetween the first object and the second object presented in thepresentation of the image data. For example, the interaction may includedetecting a movement of the first object or the second object, based onone or more features tracked by the identification module 304.

At operation 812, the media module 306 causes the first media objectpresented at a position based on the first boundary of the first objectand the second media object presented at a position based on the secondboundary of the second object, to perform an animation based on theinteraction.

FIG. 9 is an interface diagram 900 depicting AR content (e.g., mediaobjects 915 and 925) presented within a GUI (e.g., GUI 905 and GUI 910),according to certain example embodiments, and as discussed in the method400 of FIG. 4.

As seen in the GUI 905, the identification module 304 may identify anobject 920 within the presentation of the image data displayed withinthe GUI 905, and based on one or more attributes of the object 920, maycause the media module 306 to retrieve the media object 915. As seen inFIG. 9, the media object 915 may include an AR filter to displayinteractive anthropomorphic characteristics and features on objectsidentified by the identification module 304. Similarly, the GUI 910provide an illustration of an object 930, and a media object 925retrieved based on one or more attributes of the object 930.

FIG. 10 is an interface diagram 1000 depicting AR content (e.g., mediaitems 1015 and 1010) presented within a GUI 1005, according to certainexample embodiments, such as embodiments describes in the method 800 ofFIG. 8.

As seen in the interface diagram 1000, the identification module 304identifies objects 1030 and 1035 within the presentation of the imagedata displayed within the GUI 1005. Based on attributes of the objects1030 and 1035, the media module 306 retrieves the media objects 1015 and1010. As seen in the interface diagram 1000, the media objects 1015 and1010 include AR filters to display anthropomorphic characteristics andfeatures upon the objects 1030 and 1035.

As discussed in the method 800 of FIG. 8, the identification module 304may detect an interaction between the objects 1030 and 1035, such as amovement 1025. In response to detecting the interaction, the mediamodule 306 retrieves animation instructions that cause the media objects1010 and 1015 to perform an animation 1020 based on the animationinstructions.

The animation instructions retrieved by the media module 306 may bebased on one or more attributes of the interaction.

FIG. 11 is an interface diagram 1100 depicting AR content 1110 presentedwithin a GUI 1105, according to certain example embodiments, such as theembodiments discussed in the method 700 of FIG. 7.

As seen in the interface diagram 1100, the identification module 304identifies an object 1120, and causes the media module 306 to retrievemedia content 1110, wherein the media content include an AR filter todisplay anthropomorphic features upon the object 1120.

In response to detecting a second object 1115, the identification module304 detects one or more attributes of the second object, and based onthe one or more attributes, causes the media module 306 to retrieveanimation instructions for the media object 1110 that cause the mediaobject 1110 to perform an animation in response to the second object1115.

Software Architecture

FIG. 12 is a block diagram illustrating an example software architecture1206, which may be used in conjunction with various hardwarearchitectures herein described. FIG. 12 is a non-limiting example of asoftware architecture and it will be appreciated that many otherarchitectures may be implemented to facilitate the functionalitydescribed herein. The software architecture 1206 may execute on hardwaresuch as the machine 1300 of FIG. 13 that includes, among other things,processors 1304, memory 1314, and I/O components 1318. A representativehardware layer 1252 is illustrated and can represent, for example, themachine 1200 of FIG. 12. The representative hardware layer 1252 includesa processing unit 1254 having associated executable instructions 1204.Executable instructions 1204 represent the executable instructions ofthe software architecture 1206, including implementation of the methods,components and so forth described herein. The hardware layer 1252 alsoincludes memory and/or storage modules memory/storage 1256, which alsohave executable instructions 1204. The hardware layer 1252 may alsocomprise other hardware 1258.

In the example architecture of FIG. 12, the software architecture 1206may be conceptualized as a stack of layers where each layer providesparticular functionality. For example, the software architecture 1206may include layers such as an operating system 1202, libraries 1220,applications 1216 and a presentation layer 1214. Operationally, theapplications 1216 and/or other components within the layers may invokeapplication programming interface (API) API calls 1208 through thesoftware stack and receive a response as in response to the API calls1208. The layers illustrated are representative in nature and not allsoftware architectures have all layers. For example, some mobile orspecial purpose operating systems may not provide aframeworks/middleware 1218, while others may provide such a layer. Othersoftware architectures may include additional or different layers.

The operating system 1202 may manage hardware resources and providecommon services. The operating system 1202 may include, for example, akernel 1222, services 1224 and drivers 1226. The kernel 1222 may act asan abstraction layer between the hardware and the other software layers.For example, the kernel 1222 may be responsible for memory management,processor management (e.g., scheduling), component management,networking, security settings, and so on. The services 1224 may provideother common services for the other software layers. The drivers 1226are responsible for controlling or interfacing with the underlyinghardware. For instance, the drivers 1226 include display drivers, cameradrivers, Bluetooth® drivers, flash memory drivers, serial communicationdrivers (e.g., Universal Serial Bus (USB) drivers), Wi-Fi® drivers,audio drivers, power management drivers, and so forth depending on thehardware configuration.

The libraries 1220 provide a common infrastructure that is used by theapplications 1216 and/or other components and/or layers. The libraries1220 provide functionality that allows other software components toperform tasks in an easier fashion than to interface directly with theunderlying operating system 1202 functionality (e.g., kernel 1222,services 1224 and/or drivers 1226). The libraries 1220 may includesystem libraries 1244 (e.g., C standard library) that may providefunctions such as memory allocation functions, string manipulationfunctions, mathematical functions, and the like. In addition, thelibraries 1220 may include API libraries 1246 such as media libraries(e.g., libraries to support presentation and manipulation of variousmedia format such as MPREG4, H.264, MP3, AAC, AMR, JPG, PNG), graphicslibraries (e.g., an OpenGL framework that may be used to render 2D and3D in a graphic content on a display), database libraries (e.g., SQLitethat may provide various relational database functions), web libraries(e.g., WebKit that may provide web browsing functionality), and thelike. The libraries 1220 may also include a wide variety of otherlibraries 1248 to provide many other APIs to the applications 1216 andother software components/modules.

The frameworks/middleware 1218 (also sometimes referred to asmiddleware) provide a higher-level common infrastructure that may beused by the applications 1216 and/or other software components/modules.For example, the frameworks/middleware 1218 may provide various graphicuser interface (GUI) functions, high-level resource management,high-level location services, and so forth. The frameworks/middleware1218 may provide a broad spectrum of other APIs that may be utilized bythe applications 1216 and/or other software components/modules, some ofwhich may be specific to a particular operating system 1202 or platform.

The applications 1216 include built-in applications 1238 and/orthird-party applications 1240. Examples of representative built-inapplications 1238 may include, but are not limited to, a contactsapplication, a browser application, a book reader application, alocation application, a media application, a messaging application,and/or a game application. Third-party applications 1240 may include anapplication developed using the ANDROID™ or IOS™ software developmentkit (SDK) by an entity other than the vendor of the particular platform,and may be mobile software running on a mobile operating system such asIOS™, ANDROID™, WINDOWS® Phone, or other mobile operating systems. Thethird-party applications 1240 may invoke the API calls 1208 provided bythe mobile operating system (such as operating system 1202) tofacilitate functionality described herein.

The applications 1216 may use built in operating system functions (e.g.,kernel 1222, services 1224 and/or drivers 1226), libraries 1220, andframeworks/middleware 1218 to create user interfaces to interact withusers of the system. Alternatively, or additionally, in some systemsinteractions with a user may occur through a presentation layer, such aspresentation layer 1214. In these systems, the application/component“logic” can be separated from the aspects of the application/componentthat interact with a user.

FIG. 13 is a block diagram illustrating components of a machine 1300,according to some example embodiments, able to read instructions from amachine-readable medium (e.g., a machine-readable storage medium) andperform any one or more of the methodologies discussed herein.Specifically, FIG. 13 shows a diagrammatic representation of the machine1300 in the example form of a computer system, within which instructions1310 (e.g., software, a program, an application, an applet, an app, orother executable code) for causing the machine 1300 to perform any oneor more of the methodologies discussed herein may be executed. As such,the instructions 1310 may be used to implement modules or componentsdescribed herein. The instructions 1310 transform the general,non-programmed machine 1300 into a particular machine 1300 programmed tocarry out the described and illustrated functions in the mannerdescribed. In alternative embodiments, the machine 1300 operates as astandalone device or may be coupled (e.g., networked) to other machines.In a networked deployment, the machine 1300 may operate in the capacityof a server machine or a client machine in a server-client networkenvironment, or as a peer machine in a peer-to-peer (or distributed)network environment. The machine 1300 may comprise, but not be limitedto, a server computer, a client computer, a personal computer (PC), atablet computer, a laptop computer, a netbook, a set-top box (STB), apersonal digital assistant (PDA), an entertainment media system, acellular telephone, a smart phone, a mobile device, a wearable device(e.g., a smart watch), a smart home device (e.g., a smart appliance),other smart devices, a web appliance, a network router, a networkswitch, a network bridge, or any machine capable of executing theinstructions 1310, sequentially or otherwise, that specify actions to betaken by machine 1300. Further, while only a single machine 1300 isillustrated, the term “machine” shall also be taken to include acollection of machines that individually or jointly execute theinstructions 1310 to perform any one or more of the methodologiesdiscussed herein.

The machine 1300 may include processors 1304, memory memory/storage1306, and I/O components 1318, which may be configured to communicatewith each other such as via a bus 1302. The memory/storage 1306 mayinclude a memory 1314, such as a main memory, or other memory storage,and a storage unit 1316, both accessible to the processors 1304 such asvia the bus 1302. The storage unit 1316 and memory 1314 store theinstructions 1310 embodying any one or more of the methodologies orfunctions described herein. The instructions 1310 may also reside,completely or partially, within the memory 1314, within the storage unit1316, within at least one of the processors 1304 (e.g., within theprocessor's cache memory), or any suitable combination thereof, duringexecution thereof by the machine 1300. Accordingly, the memory 1314, thestorage unit 1316, and the memory of processors 1304 are examples ofmachine-readable media.

The I/O components 1318 may include a wide variety of components toreceive input, provide output, produce output, transmit information,exchange information, capture measurements, and so on. The specific I/Ocomponents 1318 that are included in a particular machine 1300 willdepend on the type of machine. For example, portable machines such asmobile phones will likely include a touch input device or other suchinput mechanisms, while a headless server machine will likely notinclude such a touch input device. It will be appreciated that the I/Ocomponents 1318 may include many other components that are not shown inFIG. 13. The I/O components 1318 are grouped according to functionalitymerely for simplifying the following discussion and the grouping is inno way limiting. In various example embodiments, the I/O components 1318may include output components 1326 and input components 1328. The outputcomponents 1326 may include visual components (e.g., a display such as aplasma display panel (PDP), a light emitting diode (LED) display, aliquid crystal display (LCD), a projector, or a cathode ray tube (CRT)),acoustic components (e.g., speakers), haptic components (e.g., avibratory motor, resistance mechanisms), other signal generators, and soforth. The input components 1328 may include alphanumeric inputcomponents (e.g., a keyboard, a touch screen configured to receivealphanumeric input, a photo-optical keyboard, or other alphanumericinput components), point based input components (e.g., a mouse, atouchpad, a trackball, a joystick, a motion sensor, or other pointinginstrument), tactile input components (e.g., a physical button, a touchscreen that provides location and/or force of touches or touch gestures,or other tactile input components), audio input components (e.g., amicrophone), and the like.

In further example embodiments, the I/O components 1318 may includebiometric components 1330, motion components 1334, environmentalenvironment components 1336, or position components 1338 among a widearray of other components. For example, the biometric components 1330may include components to detect expressions (e.g., hand expressions,facial expressions, vocal expressions, body gestures, or eye tracking),measure biosignals (e.g., blood pressure, heart rate, body temperature,perspiration, or brain waves), identify a person (e.g., voiceidentification, retinal identification, facial identification,fingerprint identification, or electroencephalogram basedidentification), and the like. The motion components 1334 may includeacceleration sensor components (e.g., accelerometer), gravitation sensorcomponents, rotation sensor components (e.g., gyroscope), and so forth.The environment components 1336 may include, for example, illuminationsensor components (e.g., photometer), temperature sensor components(e.g., one or more thermometer that detect ambient temperature),humidity sensor components, pressure sensor components (e.g.,barometer), acoustic sensor components (e.g., one or more microphonesthat detect background noise), proximity sensor components (e.g.,infrared sensors that detect nearby objects), gas sensors (e.g., gasdetection sensors to detection concentrations of hazardous gases forsafety or to measure pollutants in the atmosphere), or other componentsthat may provide indications, measurements, or signals corresponding toa surrounding physical environment. The position components 1338 mayinclude location sensor components (e.g., a Global Position system (GPS)receiver component), altitude sensor components (e.g., altimeters orbarometers that detect air pressure from which altitude may be derived),orientation sensor components (e.g., magnetometers), and the like.

Communication may be implemented using a wide variety of technologies.The I/O components 1318 may include communication components 1340operable to couple the machine 1300 to a network 1332 or devices 1320via coupling 1322 and coupling 1324 respectively. For example, thecommunication components 1340 may include a network interface componentor other suitable device to interface with the network 1332. In furtherexamples, communication components 1340 may include wired communicationcomponents, wireless communication components, cellular communicationcomponents, Near Field Communication (NFC) components, Bluetooth®components (e.g., Bluetooth® Low Energy), Wi-Fi® components, and othercommunication components to provide communication via other modalities.The devices 1320 may be another machine or any of a wide variety ofperipheral devices (e.g., a peripheral device coupled via a UniversalSerial Bus (USB)).

Moreover, the communication components 1340 may detect identifiers orinclude components operable to detect identifiers. For example, thecommunication components 1340 may include Radio Frequency Identification(RFID) tag reader components, NFC smart tag detection components,optical reader components (e.g., an optical sensor to detectone-dimensional bar codes such as Universal Product Code (UPC) bar code,multi-dimensional bar codes such as Quick Response (QR) code, Azteccode, Data Matrix, Dataglyph, MaxiCode, PDF417, Ultra Code, UCC RSS-2Dbar code, and other optical codes), or acoustic detection components(e.g., microphones to identify tagged audio signals). In addition, avariety of information may be derived via the communication components1340, such as, location via Internet Protocol (IP) geo-location,location via Wi-Fi® signal triangulation, location via detecting a NFCbeacon signal that may indicate a particular location, and so forth.

Glossary

“CARRIER SIGNAL” in this context refers to any intangible medium that iscapable of storing, encoding, or carrying instructions for execution bythe machine, and includes digital or analog communications signals orother intangible medium to facilitate communication of suchinstructions. Instructions may be transmitted or received over thenetwork using a transmission medium via a network interface device andusing any one of a number of well-known transfer protocols.

“CLIENT DEVICE” in this context refers to any machine that interfaces toa communications network to obtain resources from one or more serversystems or other client devices. A client device may be, but is notlimited to, a mobile phone, desktop computer, laptop, portable digitalassistants (PDAs), smart phones, tablets, ultra books, netbooks,laptops, multi-processor systems, microprocessor-based or programmableconsumer electronics, game consoles, set-top boxes, or any othercommunication device that a user may use to access a network.

“COMMUNICATIONS NETWORK” in this context refers to one or more portionsof a network that may be an ad hoc network, an intranet, an extranet, avirtual private network (VPN), a local area network (LAN), a wirelessLAN (WLAN), a wide area network (WAN), a wireless WAN (WWAN), ametropolitan area network (MAN), the Internet, a portion of theInternet, a portion of the Public Switched Telephone Network (PSTN), aplain old telephone service (POTS) network, a cellular telephonenetwork, a wireless network, a Wi-Fi® network, another type of network,or a combination of two or more such networks. For example, a network ora portion of a network may include a wireless or cellular network andthe coupling may be a Code Division Multiple Access (CDMA) connection, aGlobal System for Mobile communications (GSM) connection, or other typeof cellular or wireless coupling. In this example, the coupling mayimplement any of a variety of types of data transfer technology, such asSingle Carrier Radio Transmission Technology (1×RTT), Evolution-DataOptimized (EVDO) technology, General Packet Radio Service (GPRS)technology, Enhanced Data rates for GSM Evolution (EDGE) technology,third Generation Partnership Project (3GPP) including 3G, fourthgeneration wireless (4G) networks, Universal Mobile TelecommunicationsSystem (UMTS), High Speed Packet Access (HSPA), WorldwideInteroperability for Microwave Access (WiMAX), Long Term Evolution (LTE)standard, others defined by various standard setting organizations,other long range protocols, or other data transfer technology.

“EMPHEMERAL MESSAGE” in this context refers to a message that isaccessible for a time-limited duration. An ephemeral message may be atext, an image, a video and the like. The access time for the ephemeralmessage may be set by the message sender. Alternatively, the access timemay be a default setting or a setting specified by the recipient.Regardless of the setting technique, the message is transitory.

“MACHINE-READABLE MEDIUM” in this context refers to a component, deviceor other tangible media able to store instructions and data temporarilyor permanently and may include, but is not be limited to, random-accessmemory (RAM), read-only memory (ROM), buffer memory, flash memory,optical media, magnetic media, cache memory, other types of storage(e.g., Erasable Programmable Read-Only Memory (EEPROM)) and/or anysuitable combination thereof. The term “machine-readable medium” shouldbe taken to include a single medium or multiple media (e.g., acentralized or distributed database, or associated caches and servers)able to store instructions. The term “machine-readable medium” shallalso be taken to include any medium, or combination of multiple media,that is capable of storing instructions (e.g., code) for execution by amachine, such that the instructions, when executed by one or moreprocessors of the machine, cause the machine to perform any one or moreof the methodologies described herein. Accordingly, a “machine-readablemedium” refers to a single storage apparatus or device, as well as“cloud-based” storage systems or storage networks that include multiplestorage apparatus or devices. The term “machine-readable medium”excludes signals per se.

“COMPONENT” in this context refers to a device, physical entity or logichaving boundaries defined by function or subroutine calls, branchpoints, application program interfaces (APIs), or other technologiesthat provide for the partitioning or modularization of particularprocessing or control functions. Components may be combined via theirinterfaces with other components to carry out a machine process. Acomponent may be a packaged functional hardware unit designed for usewith other components and a part of a program that usually performs aparticular function of related functions. Components may constituteeither software components (e.g., code embodied on a machine-readablemedium) or hardware components. A “hardware component” is a tangibleunit capable of performing certain operations and may be configured orarranged in a certain physical manner. In various example embodiments,one or more computer systems (e.g., a standalone computer system, aclient computer system, or a server computer system) or one or morehardware components of a computer system (e.g., a processor or a groupof processors) may be configured by software (e.g., an application orapplication portion) as a hardware component that operates to performcertain operations as described herein. A hardware component may also beimplemented mechanically, electronically, or any suitable combinationthereof. For example, a hardware component may include dedicatedcircuitry or logic that is permanently configured to perform certainoperations. A hardware component may be a special-purpose processor,such as a Field-Programmable Gate Array (FPGA) or an ApplicationSpecific Integrated Circuit (ASIC). A hardware component may alsoinclude programmable logic or circuitry that is temporarily configuredby software to perform certain operations. For example, a hardwarecomponent may include software executed by a general-purpose processoror other programmable processor. Once configured by such software,hardware components become specific machines (or specific components ofa machine) uniquely tailored to perform the configured functions and areno longer general-purpose processors. It will be appreciated that thedecision to implement a hardware component mechanically, in dedicatedand permanently configured circuitry, or in temporarily configuredcircuitry (e.g., configured by software) may be driven by cost and timeconsiderations. Accordingly, the phrase “hardware component” (or“hardware-implemented component”) should be understood to encompass atangible entity, be that an entity that is physically constructed,permanently configured (e.g., hardwired), or temporarily configured(e.g., programmed) to operate in a certain manner or to perform certainoperations described herein. Considering embodiments in which hardwarecomponents are temporarily configured (e.g., programmed), each of thehardware components need not be configured or instantiated at any oneinstance in time. For example, where a hardware component comprises ageneral-purpose processor configured by software to become aspecial-purpose processor, the general-purpose processor may beconfigured as respectively different special-purpose processors (e.g.,comprising different hardware components) at different times. Softwareaccordingly configures a particular processor or processors, forexample, to constitute a particular hardware component at one instanceof time and to constitute a different hardware component at a differentinstance of time. Hardware components can provide information to, andreceive information from, other hardware components. Accordingly, thedescribed hardware components may be regarded as being communicativelycoupled. Where multiple hardware components exist contemporaneously,communications may be achieved through signal transmission (e.g., overappropriate circuits and buses) between or among two or more of thehardware components. In embodiments in which multiple hardwarecomponents are configured or instantiated at different times,communications between such hardware components may be achieved, forexample, through the storage and retrieval of information in memorystructures to which the multiple hardware components have access. Forexample, one hardware component may perform an operation and store theoutput of that operation in a memory device to which it iscommunicatively coupled. A further hardware component may then, at alater time, access the memory device to retrieve and process the storedoutput. Hardware components may also initiate communications with inputor output devices, and can operate on a resource (e.g., a collection ofinformation). The various operations of example methods described hereinmay be performed, at least partially, by one or more processors that aretemporarily configured (e.g., by software) or permanently configured toperform the relevant operations. Whether temporarily or permanentlyconfigured, such processors may constitute processor-implementedcomponents that operate to perform one or more operations or functionsdescribed herein. As used herein, “processor-implemented component”refers to a hardware component implemented using one or more processors.Similarly, the methods described herein may be at least partiallyprocessor-implemented, with a particular processor or processors beingan example of hardware. For example, at least some of the operations ofa method may be performed by one or more processors orprocessor-implemented components. Moreover, the one or more processorsmay also operate to support performance of the relevant operations in a“cloud computing” environment or as a “software as a service” (SaaS).For example, at least some of the operations may be performed by a groupof computers (as examples of machines including processors), with theseoperations being accessible via a network (e.g., the Internet) and viaone or more appropriate interfaces (e.g., an Application ProgramInterface (API)). The performance of certain of the operations may bedistributed among the processors, not only residing within a singlemachine, but deployed across a number of machines. In some exampleembodiments, the processors or processor-implemented components may belocated in a single geographic location (e.g., within a homeenvironment, an office environment, or a server farm). In other exampleembodiments, the processors or processor-implemented components may bedistributed across a number of geographic locations.

“PROCESSOR” in this context refers to any circuit or virtual circuit (aphysical circuit emulated by logic executing on an actual processor)that manipulates data values according to control signals (e.g.,“commands”, “op codes”, “machine code”, etc.) and which producescorresponding output signals that are applied to operate a machine. Aprocessor may, for example, be a Central Processing Unit (CPU), aReduced Instruction Set Computing (RISC) processor, a ComplexInstruction Set Computing (CISC) processor, a Graphics Processing Unit(GPU), a Digital Signal Processor (DSP), an Application SpecificIntegrated Circuit (ASIC), a Radio-Frequency Integrated Circuit (RFIC)or any combination thereof. A processor may further be a multi-coreprocessor having two or more independent processors (sometimes referredto as “cores”) that may execute instructions contemporaneously.

“TIMESTAMP” in this context refers to a sequence of characters orencoded information identifying when a certain event occurred, forexample giving date and time of day, sometimes accurate to a smallfraction of a second.

What is claimed is:
 1. A system comprising: a memory; and at least onehardware processor coupled to the memory and comprising instructionsthat causes the system to perform operations comprising: causing displayof a presentation of image data at a client device; identifying adisplay of an object within the presentation of the image data, thedisplay of the object comprising an object boundary; detecting anattribute of the object based on the image data; retrieving a mediaobject based on the attribute of the object; and presenting the mediaobject at a position within the presentation of the image data, theposition based on the object boundary of the display of the object. 2.The system of claim 1, wherein the attribute of the object includes ashape of the object, and wherein the detecting the attribute of theobject based on the image data includes: detecting the shape of theobject based on the object boundary of the display of the object.
 3. Thesystem of claim 1, wherein the instructions cause the system to performoperations further comprising: detecting a stimulus within thepresentation of the image data; and animating the media content based onthe stimulus.
 4. The system of claim 1, wherein the object is a firstobject, the display of the object is a first display that comprises afirst object boundary, the position is a first position, and wherein theinstructions cause the system to perform operations further comprising:identifying a second display of a second object within the presentationof the image data, the second display comprising a second objectboundary; detecting a contact between the first object boundary and thesecond object boundary; and transferring the media object from the firstposition to a second position, the second position based on the secondobject boundary of the second object.
 5. The system of claim 1, whereinthe object is a first object, the display of the object is a firstdisplay that comprises a first object boundary, the attribute of thefirst object is a first attribute, and wherein the instructions causethe system to perform operations further comprising: identifying asecond display of a second object within the presentation of the imagedata; detecting a second attribute of the second object in response tothe identifying the second display of the second object; and animatingthe media object based on at least the second attribute of the secondobject.
 6. The system of claim 1, wherein the object is a first object,the display of the object is a first display that comprises a firstobject boundary, the media object is a first media object, the positionof the first media object is a first position, and wherein theinstructions cause the system to perform operations further comprising:identifying a second display of a second object within the presentationof the image data, the second display comprising a second objectboundary; detecting the attribute of the second object; retrieving asecond media object based on the attribute of the second object;presenting the second media object at a second position within thepresentation of the image data, the second position based on the secondobject boundary; detecting a movement of the first object in a directiontowards the second object; retrieving animation instructions based onthe attribute of the first object and the attribute of the second objectin response to the movement; and animating the first media object andthe second media object based on the animation instructions.
 7. Thesystem of claim 1, wherein the instructions cause the system to performoperations further comprising: detecting an ambient noise, the ambientnoise comprising a property; and animating the media object based on theproperty of the ambient noise, in response to the detecting the ambientnoise.
 8. A method comprising: causing display of a presentation ofimage data at a client device; identifying a display of an object withinthe presentation of the image data, the display of the object comprisingan object boundary; detecting an attribute of the object based on theimage data; retrieving a media object based on the attribute of theobject; and presenting the media object at a position within thepresentation of the image data, the position based on the objectboundary of the display of the object.
 9. The method of claim 8, whereinthe attribute of the object includes a shape of the object, and whereinthe detecting the attribute of the object based on the image dataincludes: detecting the shape of the object based on the object boundaryof the display of the object.
 10. The method of claim 8, wherein themethod further comprises: detecting a stimulus within the presentationof the image data; and animating the media content based on thestimulus.
 11. The method of claim 8, wherein the object is a firstobject, the display of the object is a first display that comprises afirst object boundary, the position is a first position, and wherein themethod further comprises: identifying a second display of a secondobject within the presentation of the image data, the second displaycomprising a second object boundary; detecting a contact between thefirst object boundary and the second object boundary; and transferringthe media object from the first position to a second position, thesecond position based on the second object boundary of the secondobject.
 12. The method of claim 8, wherein the object is a first object,the display of the object is a first display that comprises a firstobject boundary, the attribute of the first object is a first attribute,and wherein the method further comprises: identifying a second displayof a second object within the presentation of the image data; detectinga second attribute of the second object in response to the identifyingthe second display of the second object; and animating the media objectbased on at least the second attribute of the second object.
 13. Themethod of claim 8, wherein the object is a first object, the display ofthe object is a first display that comprises a first object boundary,the media object is a first media object, the position of the firstmedia object is a first position, and wherein the instructions cause thesystem to perform operations further comprising: identifying a seconddisplay of a second object within the presentation of the image data,the second display comprising a second object boundary; detecting theattribute of the second object; retrieving a second media object basedon the attribute of the second object; presenting the second mediaobject at a second position within the presentation of the image data,the second position based on the second object boundary; detecting amovement of the first object in a direction towards the second object;retrieving animation instructions based on the attribute of the firstobject and the attribute of the second object in response to themovement; and animating the first media object and the second mediaobject based on the animation instructions.
 14. The method of claim 8,wherein the method further comprises: detecting an ambient noise, theambient noise comprising a property; and animating the media objectbased on the property of the ambient noise, in response to the detectingthe ambient noise.
 15. A non-transitory machine-readable storage mediumcomprising instructions that, when executed by one or more processors ofa machine, cause the machine to perform operations comprising: causingdisplay of a presentation of image data at a client device; identifyinga display of an object within the presentation of the image data, thedisplay of the object comprising an object boundary; detecting anattribute of the object based on the image data; retrieving a mediaobject based on the attribute of the object; and presenting the mediaobject at a position within the presentation of the image data, theposition based on the object boundary of the display of the object. 16.The non-transitory machine readable storage medium of claim 15, whereinthe attribute of the object includes a shape of the object, and whereinthe detecting the attribute of the object based on the image dataincludes: detecting the shape of the object based on the object boundaryof the display of the object.
 17. The non-transitory machine readablestorage medium of claim 15, wherein the instructions cause the machineto perform operations further comprising: detecting a stimulus withinthe presentation of the image data; and animating the media contentbased on the stimulus.
 18. The non-transitory machine readable storagemedium of claim 15, wherein the object is a first object, the display ofthe object is a first display that comprises a first object boundary,the position is a first position, and wherein the instructions cause themachine to perform operations further comprising: identifying a seconddisplay of a second object within the presentation of the image data,the second display comprising a second object boundary; detecting acontact between the first object boundary and the second objectboundary; and transferring the media object from the first position to asecond position, the second position based on the second object boundaryof the second object.
 19. The non-transitory machine readable storagemedium of claim 15, wherein the object is a first object, the display ofthe object is a first display that comprises a first object boundary,the attribute of the first object is a first attribute, and wherein theinstructions cause the machine to perform operations further comprising:identifying a second display of a second object within the presentationof the image data; detecting a second attribute of the second object inresponse to the identifying the second display of the second object; andanimating the media object based on at least the second attribute of thesecond object.
 20. The non-transitory machine readable storage medium ofclaim 15, wherein the object is a first object, the display of theobject is a first display that comprises a first object boundary, themedia object is a first media object, the position of the first mediaobject is a first position, and wherein the instructions cause themachine to perform operations further comprising: identifying a seconddisplay of a second object within the presentation of the image data,the second display comprising a second object boundary; detecting theattribute of the second object; retrieving a second media object basedon the attribute of the second object; presenting the second mediaobject at a second position within the presentation of the image data,the second position based on the second object boundary; detecting amovement of the first object in a direction towards the second object;retrieving animation instructions based on the attribute of the firstobject and the attribute of the second object in response to themovement; and animating the first media object and the second mediaobject based on the animation instructions.